화학공학소재연구정보센터
검색결과 : 13건
No. Article
1 Experimental and computational study of the two-fluid nozzle spreading characteristics
Pezo ML, Pezo L, Dragojlovic D, Colovic R, Colovic D, Vidosavljevic S, Hadnadev M, Duragic O
Chemical Engineering Research & Design, 166, 18, 2021
2 Assessment of producer gas composition in air gasification of biomass using artificial neural network model
George J, Arun P, Muraleedharan C
International Journal of Hydrogen Energy, 43(20), 9558, 2018
3 Artificial neural network based modeling of biomass gasification in fixed bed downdraft gasifiers
Baruah D, Baruah DC, Hazarika MK
Biomass & Bioenergy, 98, 264, 2017
4 Dual model oriented modeling of monocrystalline PV modules based on artificial neuronal networks
Lopez-Guede JM, Ramos-Hernanz JA, Zulueta E, Fernandez-Gamiz U, Azkune G
International Journal of Hydrogen Energy, 42(28), 18103, 2017
5 A new approach for model validation in solar radiation using wavelet, phase and frequency coherence analysis
Hussain S, Al-Alili A
Applied Energy, 164, 639, 2016
6 Modeling of chemical exergy of agricultural biomass using improved general regression neural network
Huang YW, Chen MQ, Li Y, Guo J
Energy, 114, 1164, 2016
7 Fault Tolerant Control Strategy applied to PEMFC water management
Lebreton C, Benne M, Damour C, Yousfi-Steiner N, Grondin-Perez B, Hissel D, Chabriat JP
International Journal of Hydrogen Energy, 40(33), 10636, 2015
8 Real-time implementation of a neural model-based self-tuning PID strategy for oxygen stoichiometry control in PEM fuel cell
Damour C, Benne M, Lebreton C, Deseure J, Grondin-Perez B
International Journal of Hydrogen Energy, 39(24), 12819, 2014
9 Fast NMPC scheme of a 10 kW commercial PEMFC
Damour C, Benne M, Kadjo JJA, Rosini S, Grondin-Perez B
International Journal of Hydrogen Energy, 38(18), 7407, 2013
10 Using Artificial Neural Network to Predict the Pressure Drop in a Rotating Packed Bed
Lashkarbolooki M, Vaferi B, Mowla D
Separation Science and Technology, 47(16), 2450, 2012